How do you redesign work to get the best from your people and your technology?

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Leaders need a closer look at operating models and jobs within them to maximise productivity and take advantage of new technologies and the changing workforce landscape.

The focus on AI adoption has exposed longstanding issues in operating models and shone a light on processes and decisions that could be done very differently. The risk is that a tactical approach to changing a few processes will not unlock productivity. What’s needed is a systemic look at the enterprise-wide operating model, how your processes, people, technology and culture all work in sync. In a world where AI seems to be everywhere, the role of the human in the loop is vital.

“We need to lean into the fact that the fundamental aspects of many jobs are changing. The exact number will vary, but around 30-50% of a typical role will change to capitalise on technology and focus on the judgement and creativity that this releases.  I don’t think many organisations have considered the job design aspects of this.”

Alastair Woods
Partner, Workforce Transformation, PwC UK

{{60}}%

of UK workers are confident in their ability to learn new skills

{{48}}%

of UK workers are confident they understand the future skills required

It is also about building these skills. The research tells us that there is insufficient clarity around future skills and the access to these. UK workers have shown an admirable ability to take change in their stride. They repeatedly keep pace with their global peers around motivation. They also report confidence in their ability to learn new skills and 69% anticipate that their roles will change in response to AI to at least some extent.

So there is work to be done around the Employee Value Proposition (EVP) to support this – from setting out the evolving career pathways and learning needs in a skills-based world – and the performance and incentives that drive the acquisition of new skills.

There is also a big role for workforce planning – as organisations work through future requirements. It is not an exact science but scenario planning between strategy, HR and finance is required to understand the future roles and the pipeline needed.

  • Assess whether performance management, incentives and behaviours encourage experimentation and learning.  
  • Identify your AI frontrunners and keep them engaged.
  • Spot overlooked potential before boredom becomes attrition.
  • Be honest with the core workforce about what jobs will look like, what skills will matter and how careers will evolve.
  • Name an accountable leader or transformation team.
  • Give them authority, but don't let them operate in a silo.
  • Require deep engagement across operations, technology, people, risk and finance functions.
  • Focus on what will accelerate or slow AI-enabled ways of working.
  • Build workforce plans around future capabilities, not current job descriptions.
  • Hire strategically for gaps.
  • Revisit succession plans and future leadership pipelines.
  • Consider what capabilities become more valuable as routine work becomes automated.
  • Hold leadership offsites dedicated to operating model redesign.
  • Bring technology, people, operations and business leaders together around your future-state vision.
  • Make symbolic investments that demonstrate commitment to change rather than treating transformation as business as usual.

“There are some practical levers to pull; signposting the changes for the organisation, running a check on your performance management systems, and building new skills and career pathways. But we’re seeing how AI and other factors are redesigning work regardless, so this is a real opportunity for leaders to own how that change looks and feels for their workforce.”

Alastair Woods
Partner, Workforce Transformation, PwC UK

Contact us

Sarah Moore

Sarah Moore

Head of Workforce, PwC United Kingdom

Tel: +44 (0)7734 607421

Alastair Woods

Alastair Woods

Partner, Workforce Transformation, PwC United Kingdom

Tel: +44 (0)7834 250359

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